Data analysis and visualisation (5 cr)
Code: TK00BK57-3003
General information
Enrollment
16.12.2019 - 10.01.2020
Timing
13.01.2020 - 30.04.2020
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Mikkeli Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Business Information Technology
Teachers
- Jari Kortelainen
- Ulla Korvenpää
Teacher in charge
Jari Kortelainen
Groups
-
TKMI18SPBusiness Information Technology, full-time studies
Objective
You are able to analyse and visualise the properties of objects in big data.
You are able to analyse and visualise relationships between objects in big data in different ways.
You can report your thesis and other studies or research in writing.
Content
What is meant by big data?
How can the properties of objects be analysed and visualised?
How can the relationships between objects be analysed and visualised?
How do you report your study or research process and the results?
Teaching methods
Scheduled track:
You participate in lectures and exrecises according to the weekly schedule.
Independent track:
You can show your competence e.g. by a certificate. To be settled at the course kick off.
Exam schedules
To be settled later on.
Completion alternatives
You can show your competence e.g. by a certificate. To be settled at the course kick off.
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
To be settled at the course kick off.
Qualifications
Discrete mathematics 2 or equivalent knowledge